AgentOps
Multi-agent automation, run safely
Most "AI automation" is one model given a task and hoped for the best. AgentOps splits that up: planning, execution, and repair are separate agent roles, each with its own memory and its own constraints on what it's allowed to do. That separation is what makes it possible to trust a multi-agent process with something that actually matters — because a single step going wrong doesn't mean the whole run goes wrong silently.
Planning, separated from execution
A planning agent breaks a request into steps before anything runs. Execution agents carry out one step each, working from that plan rather than improvising the whole task in one pass — the same reason a person writes a checklist before a complex task instead of relying on memory alone.
Agent memory
Agents keep context across a run — what's already been tried, what failed, what the plan actually says — instead of starting from a blank context on every step. That memory is scoped to the run; it doesn't leak between unrelated workflows.
Self-healing workflows
When a step fails — an API times out, a tool call returns something unexpected — a repair agent decides whether to retry, adjust the approach, or stop and flag it for a human, rather than the whole run silently failing.
Business intelligence graph
Decisions reference a structured graph of the business context relevant to that workflow — entities, relationships, prior outcomes — instead of relying purely on what's in the prompt for that one run.
How AgentOps fits with WorkflowOps
WorkflowOps handles the parts of a process that are genuinely fixed — trigger, sequence, retries, approvals. AgentOps takes over the steps that need judgment rather than a fixed rule. A workflow can call into an agent for one step and go straight back to deterministic execution for the next — you don't have to choose one model for an entire process. Every agent action is logged in the same run history the rest of the platform uses, so a run built partly from fixed steps and partly from agent decisions is still one auditable trail, not two systems bolted together.